Vehicle-mounted sound effect adjustment control system

Abstract

The invention relates to the technical field of sound effect adjustment control, and particularly discloses a vehicle-mounted sound effect adjustment control system, which comprises a vibration detection module, a data analysis module, an influence discrimination module and a sound effect adjustment module, and is characterized in that vibration data of a vehicle corresponding to a current time point is detected in real time through a sensor mounted at a key part of the vehicle; analyzing the vibration data of the vehicle corresponding to the current time point, and further evaluating a potential influence coefficient of the vibration data of the vehicle corresponding to the current time point on the sound effect in the vehicle; and if potential influences exist, a voice recognition sensor of the vehicle is started, then the sound effect category of the vehicle corresponding to the current time point is recognized, then the corresponding sound effect category is adjusted, and the influences of various vibrations on the sound quality in the driving process can be effectively dealt with. According to the method, the quality and definition of the sound effect in the vehicle are improved, the safety and comfort of driving are enhanced, and better driving experience is provided for a user.

Description

Technical Field

[0001] The invention belongs to the technical field of sound effect adjustment control and relates to a vehicle-mounted sound effect adjustment control system. Background Art

[0002] During vehicle driving, the necessity of adjusting sound effects is reflected in improving sound quality and driving safety. Vibration and noise during driving will interfere with the sound effects in the car, affecting the listening experience of music and the clarity of navigation instructions. By adjusting the sound effect settings in real time, it is possible to compensate for audio interference caused by road conditions and vehicle operation, ensuring the layering of music and the accuracy of navigation. This not only improves the passengers' auditory experience, but also reduces the risk of drivers being distracted by unclear sound effects, thereby improving overall driving comfort and safety.

[0003] When adjusting sound effects, current technology mainly focuses on frequency analysis, environmental noise identification, and adaptive filtering. Frequency analysis optimizes sound quality by identifying the spectral characteristics of audio signals, but it may not be accurate enough in complex environments. Environmental noise identification requires powerful algorithm support, but it is easy to misjudge in the case of multiple noise sources. Although adaptive filters can dynamically adjust sound effects, there are challenges in real-time performance and computational complexity. These defects can be overcome by combining vehicle vibration data. By monitoring the frequency and amplitude of vehicle vibration in real time, the sound interference caused by vibration can be accurately identified and compensated, thereby dynamically adjusting the bass and treble output to maintain the balance and richness of the sound quality. Summary of the invention

[0004] In view of the above problems existing in the prior art, the present invention provides a vehicle-mounted sound effect adjustment control system to solve the above technical problems.

[0005] In order to achieve the above purpose and other purposes, the technical solution adopted by the present invention is as follows: In one aspect, the present invention provides a vehicle-mounted sound effect adjustment control system, comprising a vibration detection module, a data analysis module, an impact identification module and a sound effect adjustment module, wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules; Vibration detection module: through sensors installed in key parts of the vehicle, it is used to detect the vibration data of the vehicle corresponding to the current time point in real time; the vibration data of the vehicle corresponding to the current time point includes vibration frequency, vibration amplitude, vibration direction and vibration acceleration; Data analysis module: receives data from the vibration detection module, analyzes the vibration data of the vehicle at the current time point, and then evaluates the potential impact coefficient of the vibration data of the vehicle at the current time point on the sound effect in the vehicle; Impact identification module: Based on the potential impact coefficient of the vehicle's vibration data at the current time point on the in-car sound effect, it is judged. If there is a potential impact, the sound effect adjustment module is executed, otherwise it returns to execute the vibration detection module; Sound effect adjustment module: activate the vehicle's voice recognition sensor to identify the vehicle's sound effect category corresponding to the current time point, and then adjust the corresponding sound effect category.

[0006] Analyze the vibration data of the vehicle at the current time point. The specific analysis process is as follows: Obtain the vibration frequency, vibration acceleration and vibration amplitude of the vehicle at the current time point, and normalize them respectively to obtain the standard vibration frequency, standard vibration acceleration and standard vibration amplitude of the vehicle at the current time point; Based on the vibration direction of the vehicle at the current time point, the vibration direction vector of the vehicle at the current time point is obtained. ; And synchronously collect the vehicle's sound propagation direction vector ; Perform a dot product operation on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle to obtain the dot product value of the two. ; Perform modular operations on the vibration direction vector of the vehicle at the current time point and the sound effect propagation direction vector of the vehicle, respectively, to obtain the modular values ​​of the vibration direction vector of the vehicle at the current time point. And the vehicle's sound propagation direction vector modulus ; The angle between the vibration direction of the vehicle at the current time point and the sound propagation direction is calculated .

[0007] Evaluate the potential impact coefficient of the vehicle's vibration data at the current time point on the in-car sound effects. The specific evaluation process is as follows: Use nonlinear functions to calculate the vibration frequency influence coefficient of the vehicle at the current time point , f is the standard vibration frequency of the vehicle at the current time point, e is a natural constant, f0 is the upper limit threshold of the vibration frequency with the greatest predefined frequency influence, is the set frequency adjustment factor; Use the square function to calculate the vibration amplitude influence coefficient of the vehicle at the current time point , A is the standard vibration amplitude of the vehicle at the current time point, is the set amplitude adjustment factor; Use the cosine function to calculate the vibration direction influence coefficient of the vehicle at the current time point , Adjustment factor for the set direction; Use logarithmic function to calculate the vibration acceleration influence coefficient of the vehicle at the current time point , g is the standard vibration acceleration of the vehicle at the current time point, is the set acceleration adjustment factor; The potential influence coefficient of the vehicle's vibration data at the current time point on the in-car sound effect is calculated accordingly ,in are the vibration energy and volume influencing factors of the vehicle at the current time point respectively; The vibration energy of the vehicle at the current time point ; The volume impact factor of the vehicle at the current time point , YL is the volume value of the vehicle at the current time point, It is the maximum volume value that the vehicle can reach.

[0008] The operating logic of the impact identification module is: to judge the potential impact coefficient of the vehicle's vibration data corresponding to the current time point on the sound effect in the car with the set potential impact coefficient threshold; if the potential impact coefficient of the vehicle's vibration data corresponding to the current time point on the sound effect in the car is greater than the set potential impact coefficient threshold, then it is determined that the vehicle's vibration data corresponding to the current time point has potential impact on the sound effect in the car; otherwise, it is determined that the vehicle's vibration data corresponding to the current time point has no potential impact on the sound effect in the car.

[0009] The sound effects category is divided into voice navigation sound effects and music playback sound effects.

[0010] Identify the sound effect category of the vehicle at the current time point. The specific identification process is as follows: According to the sensors arranged inside the vehicle, an audio clip corresponding to the current time point of the vehicle speaker system is extracted, and the audio clip is divided into multiple time frames, wherein the time frame contains N sampling points, thereby obtaining the audio signal of each sampling point; and the audio features of each sampling point are obtained therefrom, wherein the audio features are divided into short-time energy, spectrum features, zero-crossing rate and Mel-frequency cepstrum coefficients; Use machine learning algorithms to classify the extracted features: First, you need to prepare a training set containing labeled voice navigation and music playback audio samples; use the training set to train a classification model; The system will capture the current audio clip, extract the above features, and input these features into the trained classification model; then, based on the category label output by the model, it will indicate whether the current audio is voice navigation sound effect and music playback sound effect.

[0011] If the sound effect category of the vehicle corresponding to the current time point is identified as voice navigation sound effect, the steps for adjusting the corresponding sound effect category are as follows: Get the vibration frequency of the vehicle at the current time point ; Based on the audio clip of the vehicle speaker system corresponding to the current time point, the key frequency of the navigation signal of the vehicle speaker system corresponding to the current time point is extracted ; Calculate the interference coefficient of the vibration frequency of the vehicle at the current time point and the key frequency of the navigation signal of the vehicle speaker system at the current time point , i is the frequency currently being analyzed, are the amplitudes of the speech signal and the vibration signal at frequency i, is a natural exponential function, that is, an exponential function with the real number e as the base. is the frequency bandwidth parameter; Then calculate the gain adjustment function of the voice navigation sound effect , is the set gain adjustment coefficient, △i is the frequency window width; The gain adjustment function of the voice navigation sound effect is applied to the spectrum of the voice signal, and the specific frequency components are adjusted accordingly. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform, and finally the adjusted voice navigation sound effect is obtained.

[0012] If the sound effect category of the vehicle corresponding to the current time point is identified as music playing sound effect, the steps for adjusting the corresponding sound effect category are as follows: Get the vibration frequency of the vehicle at the current time point ; Based on the audio clip of the vehicle speaker system at the current time point, the music signal of the vehicle speaker system at the current time point is analyzed, and then the main frequency of the music signal of the vehicle speaker system at the current time point is identified. ; Calculate the interference coefficient of the main frequency of the music signal of the vehicle speaker system at the current time point corresponding to the vibration frequency of the vehicle at the current time point , is the amplitude of the music signal at frequency i; The gain adjustment function of the music playback sound effect is calculated from this , are the set gain adjustment coefficients, are the frequency window widths for low and high frequencies respectively, They are respectively the low frequency and high frequency of the music signal of the vehicle speaker system corresponding to the current time point; The gain adjustment function of the music playback sound effect is applied to the spectrum of the music signal, and the specific frequency components are adjusted accordingly. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to finally obtain the adjusted music playback sound effect.

[0013] Another aspect of the present invention provides a vehicle-mounted sound effect adjustment control device, including a processor, a memory, and a communication bus; The memory stores a computer-readable program executable by the processor; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it is implemented to implement a vehicle-mounted sound effect adjustment control system as described in the present invention.

[0014] As described above, the vehicle-mounted sound effect adjustment control system provided by the present invention has at least the following beneficial effects: (1) Vehicles are subject to various vibration sources during driving, such as uneven road surfaces, engine operation, and wind noise. These vibrations not only affect the comfort of the vehicle, but also interfere with the in-vehicle sound effects, especially the clarity of music playback and navigation instructions. Real-time detection of vibration data can help identify the frequency and amplitude of these interferences and assess their potential impact on the in-vehicle sound effects. By analyzing the vibration data, an impact coefficient can be calculated to quantify the degree of interference of vibration on the sound effects. This real-time analysis enables the vehicle to automatically adjust the sound effect settings when the vibration impact is significant to maintain the clarity and richness of the sound quality.

[0015] (2) Activating the vehicle's voice recognition sensor to identify the current sound effect category is another key step. The sound effect categories in the vehicle may include music playback, navigation instructions, phone calls, etc. Different sound effect categories have different requirements for sound quality. For example, music playback may require richer bass and treble, while navigation instructions require clearer mid-frequency bands. By identifying the current sound effect category, the system can adjust the sound effect settings in a targeted manner, enhance the performance of specific frequencies, and suppress unnecessary noise interference. The benefit of this dynamic adjustment is that it can significantly enhance the in-car listening experience. In music playback mode, this adjustment can ensure that the bass and treble of the music are not masked by vibrations, maintaining the layering and details of the music. In navigation mode, it can enhance the clarity of voice instructions, ensuring that the driver can accurately hear and understand navigation prompts, thereby improving driving safety and convenience.

[0016] (3) The necessity of such a system is also reflected in its protection of driver attention. By automatically adjusting the sound effects, the driver does not need to manually adjust the volume or sound settings, thereby reducing the possibility of distraction. This not only improves driving safety, but also enhances the comfort of the overall driving experience.

[0017] (4) By detecting and analyzing vibration data in real time and combining it with voice recognition technology to dynamically adjust the in-car sound effects, it can effectively deal with the impact of various vibrations on the sound quality during driving. This method not only improves the quality and clarity of the in-car sound effects, but also enhances driving safety and comfort, providing users with a better driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 It is a schematic diagram of the connection of various modules of the system of the present invention. DETAILED DESCRIPTION

[0020] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0021] Example 1 See also Figure 1 As shown, a vehicle-mounted sound effect adjustment control system includes a vibration detection module, a data analysis module, an impact identification module and a sound effect adjustment module, wherein the above modules are connected by wired and / or wireless connection to realize data transmission between the modules; Vibration detection module: a sensor installed at a key part of the vehicle is used to detect the vibration data of the vehicle at the current time point in real time; wherein the vibration data of the vehicle at the current time point includes vibration frequency, vibration amplitude, vibration direction and vibration acceleration; Data analysis module: receives data from the vibration detection module, analyzes the vibration data of the vehicle at the current time point, and then evaluates the potential impact coefficient of the vibration data of the vehicle at the current time point on the sound effect in the vehicle; Analyze the vibration data of the vehicle at the current time point. The specific analysis process is as follows: Obtain the vibration frequency, vibration acceleration and vibration amplitude of the vehicle at the current time point, and normalize them respectively to obtain the standard vibration frequency, standard vibration acceleration and standard vibration amplitude of the vehicle at the current time point; Based on the vibration direction of the vehicle at the current time point, the vibration direction vector of the vehicle at the current time point is obtained. ; To convert the vibration direction of the vehicle at the current time point into a vibration direction vector, the acceleration sensors installed at key parts of the vehicle measure the acceleration values ​​in three orthogonal directions (usually the front and back, left and right, and up and down of the vehicle body). These acceleration values ​​represent the components of the vibration direction. By collecting these data in real time, a vibration direction vector V=(V_x, V_y, V_z) can be constructed, where (V_x), (V_y), and (V_z) represent the acceleration components in the three directions respectively. These components can be directly obtained through the output of the sensor, and after filtering and calibration, they form a vibration direction vector for further analysis and calculation; And synchronously collect the vehicle's sound propagation direction vector ; Perform a dot product operation on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle to obtain the dot product value of the two. ; Perform modular operations on the vibration direction vector of the vehicle at the current time point and the sound effect propagation direction vector of the vehicle, respectively, to obtain the modular values ​​of the vibration direction vector of the vehicle at the current time point. And the vehicle's sound propagation direction vector modulus ; The angle between the vibration direction of the vehicle at the current time point and the sound propagation direction is calculated .

[0022] Evaluate the potential impact coefficient of the vehicle's vibration data at the current time point on the in-car sound effects. The specific evaluation process is as follows: Use nonlinear functions to calculate the vibration frequency influence coefficient of the vehicle at the current time point , f is the standard vibration frequency of the vehicle at the current time point, e is a natural constant, f0 is the upper limit threshold of the vibration frequency with the greatest predefined frequency influence, is the set frequency adjustment factor; Use the square function to calculate the vibration amplitude influence coefficient of the vehicle at the current time point , A is the standard vibration amplitude of the vehicle at the current time point, is the set amplitude adjustment factor; Use the cosine function to calculate the vibration direction influence coefficient of the vehicle at the current time point , Adjustment factor for the set direction; Use logarithmic function to calculate the vibration acceleration influence coefficient of the vehicle at the current time point , g is the standard vibration acceleration of the vehicle at the current time point, is the set acceleration adjustment factor; The potential influence coefficient of the vehicle's vibration data at the current time point on the in-car sound effect is calculated accordingly ,in are the vibration energy and volume influencing factors of the vehicle at the current time point respectively; The vibration energy of the vehicle at the current time point ; The volume impact factor of the vehicle at the current time point , YL is the volume value of the vehicle at the current time point, It is the maximum volume value that the vehicle can reach.

[0023] Impact identification module: Based on the potential impact coefficient of the vehicle's vibration data at the current time point on the in-car sound effect, it is judged. If there is a potential impact, the sound effect adjustment module is executed, otherwise it returns to execute the vibration detection module; The operating logic of the impact identification module is: to judge the potential impact coefficient of the vehicle's vibration data corresponding to the current time point on the sound effect in the car with the set potential impact coefficient threshold; if the potential impact coefficient of the vehicle's vibration data corresponding to the current time point on the sound effect in the car is greater than the set potential impact coefficient threshold, then it is determined that the vehicle's vibration data corresponding to the current time point has potential impact on the sound effect in the car; otherwise, it is determined that the vehicle's vibration data corresponding to the current time point has no potential impact on the sound effect in the car.

[0024] Sound effect adjustment module: activate the vehicle's voice recognition sensor to identify the vehicle's sound effect category corresponding to the current time point, and then adjust the corresponding sound effect category.

[0025] The sound effects category is divided into voice navigation sound effects and music playback sound effects.

[0026] Identify the sound effect category of the vehicle at the current time point. The specific identification process is as follows: According to the sensors arranged inside the vehicle, an audio clip corresponding to the current time point of the vehicle speaker system is extracted, and the audio clip is divided into multiple time frames, wherein the time frame contains N sampling points, thereby obtaining the audio signal of each sampling point; and the audio features of each sampling point are obtained therefrom, wherein the audio features are divided into short-time energy, spectrum features, zero-crossing rate and Mel-frequency cepstrum coefficients; Use machine learning algorithms to classify the extracted features: First, you need to prepare a training set containing labeled voice navigation and music playback audio samples. Use the training set to train a classification model, such as a support vector machine (SVM), random forest, or neural network. These models can learn the characteristic patterns of different categories of sound effects; The system captures the current audio clip, extracts the above features, and inputs them into the trained classification model. The model outputs a category label based on the input features, indicating whether the current audio is voice navigation sound effects or music playback sound effects.

[0027] Short-time energy: Short-time energy is an indicator that measures the energy changes of an audio signal in a short period of time. Voice navigation usually contains short voice clips and obvious pauses, so the short-time energy shows a clear fluctuation pattern on the time axis. Music playback usually has a more continuous and stable energy distribution; Spectral features: Through Fast Fourier Transform (FFT), audio signals can be converted from the time domain to the frequency domain. Speech signals are usually concentrated in the mid-frequency range, while music signals may cover a wider frequency range. Therefore, analyzing spectral features can help distinguish between the two categories; Zero Crossing Rate: Zero crossing rate refers to the number of times a signal passes through zero. Speech signals usually have a higher zero crossing rate because speech contains more transients and faster changes, while music signals may be relatively low; Mel-frequency cepstral coefficients (MFCCs): This is a common feature in audio signal processing that can effectively capture the acoustic characteristics of speech. By extracting MFCCs, the characteristics of voice navigation sound effects can be better characterized.

[0028] If the sound effect category of the vehicle corresponding to the current time point is identified as voice navigation sound effect, the steps for adjusting the corresponding sound effect category are as follows: Get the vibration frequency of the vehicle at the current time point ; Based on the audio clip of the vehicle speaker system corresponding to the current time point, the key frequency of the navigation signal of the vehicle speaker system corresponding to the current time point is extracted ; Calculate the interference coefficient of the vibration frequency of the vehicle at the current time point and the key frequency of the navigation signal of the vehicle speaker system at the current time point , i is the frequency currently being analyzed, are the amplitudes of the speech signal and the vibration signal at frequency i, is a natural exponential function, that is, an exponential function with the real number e (e≈2.71828) as the base. is the frequency bandwidth parameter; In the above formula Indicates the amplitude of the vibration signal at the widest frequency; this value can be obtained by performing a fast Fourier transform (FFT) on the vibration signal. It is used to measure the potential interference of vibration on the voice signal; In the above formula Represents a Gaussian function, which is used to describe the influence range of frequency interference. Indicates the distance between the current frequency and the key frequency. Controlling the width of the Gaussian function determines the frequency range affected by the interference; Then calculate the gain adjustment function of the voice navigation sound effect , is the set gain adjustment coefficient, △i is the frequency window width; The first term in the above formula is used to reduce the gain of the interfered frequency, and the second term is used to enhance near the critical frequency; The gain adjustment function of the voice navigation sound effect determines the gain adjustment amount at each frequency. By adjusting the gain, the key frequencies of the voice signal can be enhanced and the influence of vibration noise can be suppressed; the calculation formula of the gain adjustment function of the above voice navigation sound effect takes into account the frequency interference coefficient, which is used to compensate for the interference of vibration on the voice signal. Through the gain adjustment coefficient α and the frequency window width △i, it can be enhanced near the key frequencies to improve the clarity of the navigation instructions; The gain adjustment function of the voice navigation sound effect is applied to the spectrum of the voice signal, and the specific frequency components are adjusted accordingly. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform, and finally the adjusted voice navigation sound effect is obtained.

[0029] If the sound effect category of the vehicle corresponding to the current time point is identified as music playing sound effect, the steps for adjusting the corresponding sound effect category are as follows: Get the vibration frequency of the vehicle at the current time point ; Based on the audio clip of the vehicle speaker system at the current time point, the music signal of the vehicle speaker system at the current time point is analyzed, and then the main frequency of the music signal of the vehicle speaker system at the current time point is identified. ; Calculate the interference coefficient of the main frequency of the music signal of the vehicle speaker system at the current time point corresponding to the vibration frequency of the vehicle at the current time point , is the amplitude of the music signal at frequency i; The gain adjustment function of the music playback sound effect is calculated from this , are the set gain adjustment coefficients, are the frequency window widths for low and high frequencies respectively, They are respectively the low frequency and high frequency of the music signal of the vehicle speaker system corresponding to the current time point; The gain adjustment function of the music playback sound effect is applied to the spectrum of the music signal, and the specific frequency components are adjusted accordingly. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to finally obtain the adjusted music playback sound effect.

[0030] To adjust the sound effects of the music playback mode in the vehicle vibration environment, the gain adjustment function is designed based on the theoretical basis of frequency response and human hearing characteristics. The vibration frequency will interfere with the audio signal, especially the low-frequency and high-frequency areas may be significantly affected. By analyzing the interference of the vibration frequency on the music frequency, the gain can be dynamically adjusted to compensate for or enhance the sound experience of a specific frequency. The gain adjustment function dynamically adjusts the gain of low and high frequencies by calculating the degree of interference of vibration on different music frequencies. For example, low-frequency vibration may mask the bass part of the music, so the low-frequency gain needs to be increased to compensate for this interference. Similarly, high-frequency vibration affects the clarity of the treble, and the details of the music can be enhanced by adjusting the high-frequency gain. Parameters in the gain adjustment function, such as β and δ, can be optimized based on experimental data to ensure the best sound effects under different vibration conditions; As the vehicle travels on different road conditions, the vibration frequency and intensity will change, which poses a challenge to the in-car audio system. Traditional fixed sound settings cannot cope with such dynamic changes, but by adjusting the gain in real time, the negative impact of vibration on sound quality can be minimized. This not only improves the in-car entertainment experience, but also reduces fatigue during long-distance driving and improves the comfort of drivers and passengers. In this way, the in-car audio system can provide a more balanced and rich sound quality performance to meet the needs of users with high requirements for sound quality.

[0031] Example 2 A vehicle-mounted sound effect adjustment control device includes a processor, a memory and a communication bus; The memory stores a computer-readable program executable by the processor; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it is implemented to implement a vehicle-mounted sound effect adjustment control system as described in the present invention.

[0032] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0033] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0034] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0035] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A vehicle-mounted sound effect adjustment and control system, characterized in that: It includes a vibration detection module, a data analysis module, an impact identification module and a sound effect adjustment module, wherein the above modules are connected by wired and / or wireless connection to realize data transmission between the modules; Vibration detection module: It uses sensors installed in key parts of the vehicle to detect the vibration data of the vehicle at the current time point in real time; Data analysis module: receives data from the vibration detection module, analyzes the vibration data of the vehicle at the current time point, and then evaluates the potential impact coefficient of the vibration data of the vehicle at the current time point on the sound effect in the vehicle; Impact identification module: Based on the potential impact coefficient of the vehicle's vibration data at the current time point on the in-car sound effect, it is judged. If there is a potential impact, the sound effect adjustment module is executed, otherwise it returns to execute the vibration detection module; Sound effect adjustment module: activate the vehicle's voice recognition sensor to identify the vehicle's sound effect category corresponding to the current time point, and then adjust the corresponding sound effect category.

2. The vehicle-mounted sound effect adjustment and control system according to claim 1, characterized in that: The vibration data of the vehicle corresponding to the current time point includes vibration frequency, vibration amplitude, vibration direction and vibration acceleration.

3. The vehicle-mounted sound effect adjustment and control system according to claim 1, characterized in that: Analyze the vibration data of the vehicle at the current time point. The specific analysis process is as follows: Obtain the vibration frequency, vibration acceleration and vibration amplitude of the vehicle at the current time point, and normalize them respectively to obtain the standard vibration frequency, standard vibration acceleration and standard vibration amplitude of the vehicle at the current time point; Based on the vibration direction of the vehicle at the current time point, the vibration direction vector of the vehicle at the current time point is obtained. ; And synchronously collect the vehicle's sound propagation direction vector ; Perform a dot product operation on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle to obtain the dot product value of the two. ; Perform modular operations on the vibration direction vector of the vehicle at the current time point and the sound effect propagation direction vector of the vehicle, respectively, to obtain the modular values ​​of the vibration direction vector of the vehicle at the current time point. And the vehicle's sound propagation direction vector modulus ; The angle between the vibration direction of the vehicle at the current time point and the sound propagation direction is calculated .

4. The vehicle-mounted sound effect adjustment and control system according to claim 3, characterized in that: Evaluate the potential impact coefficient of the vehicle's vibration data at the current time point on the in-car sound effects. The specific evaluation process is as follows: Use nonlinear functions to calculate the vibration frequency influence coefficient of the vehicle at the current time point , f is the standard vibration frequency of the vehicle at the current time point, e is a natural constant, f0 is the upper limit threshold of the vibration frequency with the greatest predefined frequency influence, is the set frequency adjustment factor; Use the square function to calculate the vibration amplitude influence coefficient of the vehicle at the current time point , A is the standard vibration amplitude of the vehicle at the current time point, is the set amplitude adjustment factor; Use the cosine function to calculate the vibration direction influence coefficient of the vehicle at the current time point , Adjustment factor for the set direction; Use logarithmic function to calculate the vibration acceleration influence coefficient of the vehicle at the current time point , g is the standard vibration acceleration of the vehicle at the current time point, is the set acceleration adjustment factor; The potential influence coefficient of the vehicle's vibration data at the current time point on the in-car sound effect is calculated accordingly ,in are the vibration energy and volume influencing factors of the vehicle at the current time point respectively; The vibration energy of the vehicle at the current time point ; The volume impact factor of the vehicle at the current time point , YL is the volume value of the vehicle at the current time point, It is the maximum volume value that the vehicle can reach.

5. The vehicle-mounted sound effect adjustment and control system according to claim 1, characterized in that: The operation logic of the impact identification module is: The potential impact coefficient of the vehicle's vibration data corresponding to the current time point on the sound effects in the car is judged against the set potential impact coefficient threshold. If the potential impact coefficient of the vehicle's vibration data corresponding to the current time point on the sound effects in the car is greater than the set potential impact coefficient threshold, then it is determined that the vehicle's vibration data corresponding to the current time point has potential impact on the sound effects in the car; otherwise, it is determined that the vehicle's vibration data corresponding to the current time point has no potential impact on the sound effects in the car.

6. The vehicle-mounted sound effect adjustment and control system according to claim 1, characterized in that: The sound effects category is divided into voice navigation sound effects and music playback sound effects.

7. The vehicle-mounted sound effect adjustment and control system according to claim 6, characterized in that: Identify the sound effect category of the vehicle at the current time point. The specific identification process is as follows: According to the sensors arranged inside the vehicle, an audio clip corresponding to the current time point of the vehicle speaker system is extracted, and the audio clip is divided into multiple time frames, wherein the time frame contains N sampling points, thereby obtaining the audio signal of each sampling point; and the audio features of each sampling point are obtained therefrom, wherein the audio features are divided into short-time energy, spectrum features, zero-crossing rate and Mel-frequency cepstrum coefficients; Use machine learning algorithms to classify the extracted features: prepare a training set containing labeled voice navigation and music playback audio samples; train a classification model using the training set; The system will capture the current audio clip, extract the above features, and input these features into the trained classification model; then, based on the category label output by the model, it will indicate whether the current audio is voice navigation sound effect and music playback sound effect.

8. The vehicle-mounted sound effect adjustment and control system according to claim 6, characterized in that: If the sound effect category of the vehicle corresponding to the current time point is identified as voice navigation sound effect, the steps for adjusting the corresponding sound effect category are as follows: Get the vibration frequency of the vehicle at the current time point ; Based on the audio clip of the vehicle speaker system corresponding to the current time point, the key frequency of the navigation signal of the vehicle speaker system corresponding to the current time point is extracted ; Calculate the interference coefficient of the vibration frequency of the vehicle at the current time point and the key frequency of the navigation signal of the vehicle speaker system at the current time point , i is the frequency currently being analyzed, are the amplitudes of the speech signal and the vibration signal at frequency i, is a natural exponential function, that is, an exponential function with the real number e as the base. is the frequency bandwidth parameter; Then calculate the gain adjustment function of the voice navigation sound effect , is the set gain adjustment coefficient, △i is the frequency window width; The gain adjustment function of the voice navigation sound effect is applied to the spectrum of the voice signal, and the specific frequency components are adjusted accordingly. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform, and finally the adjusted voice navigation sound effect is obtained.

9. The vehicle-mounted sound effect adjustment and control system according to claim 6, characterized in that: If the sound effect category of the vehicle corresponding to the current time point is identified as music playing sound effect, the steps for adjusting the corresponding sound effect category are as follows: Get the vibration frequency of the vehicle at the current time point ; Based on the audio clip of the vehicle speaker system at the current time point, the music signal of the vehicle speaker system at the current time point is analyzed, and then the main frequency of the music signal of the vehicle speaker system at the current time point is identified. ; Calculate the interference coefficient of the main frequency of the music signal of the vehicle speaker system at the current time point corresponding to the vibration frequency of the vehicle at the current time point , is the amplitude of the music signal at frequency i; The gain adjustment function of the music playback sound effect is calculated from this , are the set gain adjustment coefficients, are the frequency window widths for low and high frequencies respectively, They are respectively the low frequency and high frequency of the music signal of the vehicle speaker system corresponding to the current time point; The gain adjustment function of the music playback sound effect is applied to the spectrum of the music signal, and the specific frequency components are adjusted accordingly. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to finally obtain the adjusted music playback sound effect.

10. A vehicle-mounted sound effect adjustment control device, characterized in that: It is implemented based on a vehicle sound effect adjustment control system according to any one of claims 1 to 9, comprising a processor, a memory and a communication bus; The memory stores a computer-readable program executable by the processor; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it is executed to implement a vehicle-mounted sound adjustment control system as described in any one of claims 1-9.

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